Toward a route detection method base on detail call records

• Autores: Núñez del Prado, Miguel, Hendrikx, Hadrien
• Formato: documento de trabajo
• Fecha de Publicación: 2016
• Institución: Universidad del Pacífico
• Repositorio: UP-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.up.edu.pe:11354/1824
• Enlace del recurso: http://hdl.handle.net/11354/1824
• Nivel de acceso: acceso abierto
• Materia: Teléfonos inteligentes; APPs; Análisis cluster

In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers’ whereabouts. This location information allows computing eostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.